Academic Articles & Research Papers

Mapping Chinese Medical Entities to the Unified Medical Language System

Background. Chinese medical entities have not been organized comprehensively due to the lack of well-developed terminology systems, which poses a challenge to processing Chinese medical texts for fine-grained medical knowledge representatio...

Exploring barriers and enablers to implementing a digital mental health crisis risk mitigation pathway in acute paediatric care: A multi-site, exploratory mixed-methods study

Objective Children and young people (CYP) presenting in mental health crisis to acute paediatric settings represent a growing clinical and system-level challenge. These environments, primarily designed for physical healthcare, frequently la...

The Comparability of Men Who Have Sex With Men Recruited From Venue-Time-Space Sampling and Facebook: A Cohort Study

BackgroundRecruiting valid samples of men who have sex with men (MSM) is a key component of the US human immunodeficiency virus (HIV) surveillance and of research studies seeking to improve HIV prevention for MSM. Social media, such as Face...

Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment

BackgroundeHealth applications not only offer the potential to increase service convenience and responsiveness but also expand the ability to tailor services to improve relevance, engagement, and use. To achieve these goals, it is critical ...

Medical Informatics Europe 84

Synergy between medical informatics and bioinformatics: facilitating genomic medicine for future health care

American Medical Informatics Association Annual Symposium Proceedings

Hackathons as Stepping Stones in Health Care Innovation: Case Study With Systematic Recommendations

BackgroundUntil recently, developing health technologies was time-consuming and expensive, and often involved patients, doctors, and other health care professionals only as passive recipients of the end product. So far, users have been mini...

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...

Association between social health status and health-related quality of life among community-dwelling elderly in Zhejiang

Abstract Background Population aging is an inevitable trend and previous studies have showed the relationship between social health related factors and health-related quality of life (HR-QOL) in the elderly. The objective of this study is t...

Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert)

BackgroundClinical decision support (CDS) is a tool that helps clinicians in decision making by generating clinical alerts to supplement their previous knowledge and experience. However, CDS generates a high volume of irrelevant alerts, res...

Data for the co-expression and purification of human recombinant CaMKK2 in complex with calmodulin in Escherichia coli

Calcium/calmodulin-dependent kinase kinase 2 (CaMKK2) has been implicated in a range of conditions and pathologies from prostate to hepatic cancer. Here, we describe the expression in Escherichia coli and the purification protocol for the f...

Machine learning framework for early identification of high-spending Crohn’s disease patients using administrative claims

Objectives To develop and evaluate a machine learning (ML) model that predicts Crohn’s disease (CD) patients responsible for the top quartile of healthcare spending.Methods De-identified commercial claims (2016–2018) from ~267 000 continuou...

Web-based versus simulation-based refresher training in newborn life support

Background: Regular training for healthcare professionals in newborn life support is life-saving. Web-based refresher has the potential to be non-inferior to simulation-based refresher training. Methods: The multicenter non-inferiority rand...

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature

Abstract Background Single Nucleotide Polymorphisms (SNPs) are among the most important types of genetic variations influencing common diseases and phenotypes. Recently, some corpora and methods have been developed with the purpose of extra...

Health and Medical Informatics Education

Health and medical informatics education has meanwhile gained considerable importance for medicine and for health care. Specialized programs in health/medical informatics have therefore been established within the last decades. This special...

Training residents in medical informatics.

BACKGROUND AND OBJECTIVES: A number of medical educators have called for an increased emphasis on medical informatics training, but few family practice residency programs have provided more than cursory teaching efforts in this area. This p...

Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature

BackgroundSocial media has been extensively used for the communication of health-related information and consecutively for the potential spread of medical misinformation. Conventional systematic reviews have been published on this topic to ...

Comparative assessment of patient education content generated by five large language models on post-stroke complications: A cross-sectional study of safety, accuracy, reliability, readability, and empathy

Objective To compare the safety, accuracy, reliability, readability, and empathy of patient education content generated by five large language models (LLMs) for post-stroke complications. Methods This CHART-guided cross-sectional comparativ...